Awesome

Flask HTMLX Material Kit

Open-Source sample that uses Flask and HTMLx for the frontend logic. For newcomers, Flask is a leading web framework powered by Python and HTMLx is a lightweight JS utility library that allows accessing AJAX, CSS Transitions, WebSockets, and Server-Sent Events directly in HTML. Desing is provided by Material Kit 2, a modern Boostrap 5 desing (also free).

Features

Up-to-date Dependencies
Tech Stack:
- Flask: manages authentication and routing
- HTMLx: manages forms: Login, Register and Contact
- Bootstrap 5: UI & presentation layer
Auth: Sign IN, Sign UP
Misc: SQLite DB, SQLAlchemy, Forms Validation

Links

👉 More Flask Apps and Dashboards provided by AppSeed
👉 Free Support via Email and Discord.

✨ Quick Start in `Docker`

Get the code

$ git clone https://github.com/app-generator/sample-flask-htmlx-mkit.git
$ cd sample-flask-htmlx-mkit

Start the app in Docker

$ docker-compose up --build

Visit http://localhost:85 in your browser. The app should be up & running.

Flask HTMLX Material Kit - Open-Source Sample provided by AppSeed.

✨ Build from sources

$ # Clone the sources
$ git clone https://github.com/app-generator/sample-flask-htmlx-mkit.git
$ cd sample-flask-htmlx-mkit
$
$ # Virtualenv modules installation (Unix based systems)
$ virtualenv env
$ source env/bin/activate
$
$ # Virtualenv modules installation (Windows based systems)
$ # virtualenv env
$ # .\env\Scripts\activate
$
$ # Install requirements
$ pip3 install -r requirements.txt
$
$ # Set the FLASK_APP environment variable
$ (Unix/Mac) export FLASK_APP=run.py
$ (Windows) set FLASK_APP=run.py
$ (Powershell) $env:FLASK_APP = ".\run.py"
$
$ # Set up the DEBUG environment
$ # (Unix/Mac) export FLASK_ENV=development
$ # (Windows) set FLASK_ENV=development
$ # (Powershell) $env:FLASK_ENV = "development"
$
$ # Run the application
$ # --host=0.0.0.0 - expose the app on all network interfaces (default 127.0.0.1)
$ # --port=5000    - specify the app port (default 5000)  
$ flask run --host=0.0.0.0 --port=5000
$
$ # Access the app in browser: http://127.0.0.1:5000/

Note: To use the app, please access the registration page and create a new user. After authentication, the app will unlock the private pages.

✨ Code-base structure

The project has a super simple structure, represented as bellow:

< PROJECT ROOT >
   |
   |-- app/
   |    |-- static/
   |    |    |-- <css, JS, images>         # CSS files, Javascripts files
   |    |
   |    |-- templates/
   |    |    |
   |    |    |-- includes/                 # Page chunks, components
   |    |    |    |
   |    |    |    |-- navigation.html      # Top bar
   |    |    |    |-- sidebar.html         # Left sidebar
   |    |    |    |-- scripts.html         # JS scripts common to all pages
   |    |    |    |-- footer.html          # The common footer
   |    |    |
   |    |    |-- layouts/                  # App Layouts (the master pages)
   |    |    |    |
   |    |    |    |-- base.html            # Used by common pages like index, UI
   |    |    |    |-- base-fullscreen.html # Used by auth pages (login, register)
   |    |    |
   |    |    |-- accounts/                 # Auth Pages (login, register)
   |    |    |    |
   |    |    |    |-- login.html           # Use layout `base-fullscreen.html`
   |    |    |    |-- register.html        # Use layout `base-fullscreen.html`  
   |    |    |
   |    |    |-- home/                      # UI Kit Pages
   |    |         |-- index.html            # Index page
   |    |         |-- 404-page.html         # 404 page
   |    |         |-- *.html                # All other pages
   |    |
   |   config.py                            # Provides APP Configuration 
   |   forms.py                             # Defines Forms (login, register) 
   |   models.py                            # Defines app models 
   |   views.py                             # Application Routes 
   |
   |-- Dockerfile                           # Deployment
   |-- docker-compose.yml                   # Deployment
   |-- gunicorn-cfg.py                      # Deployment   
   |-- nginx                                # Deployment
   |    |-- appseed-app.conf                # Deployment 
   |
   |-- requirements.txt
   |-- run.py
   |
   |-- ************************************************************************

✨ Recompile CSS

To recompile SCSS files, follow this setup:

Step #1 - Install tools

NodeJS 12.x or higher
Gulp - globally
- npm install -g gulp-cli
Yarn (optional)

Step #2 - Change the working directory to assets folder

$ cd app/static/assets

Step #3 - Install modules (this will create a classic node_modules directory)

$ npm install
// OR
$ yarn

Step #4 - Edit & Recompile SCSS files

$ gulp scss

The generated file is saved in static/assets/css directory.

✨ Deployment

The app is provided with a basic configuration to be executed in Docker, Heroku, Gunicorn, and Waitress.

Heroku

Steps to deploy on Heroku

Create a FREE account on Heroku platform
Install the Heroku CLI that match your OS: Mac, Unix or Windows
Open a terminal window and authenticate via heroku login command
Clone the sources and push the project for LIVE deployment

$ # Clone the source code:
$ git clone https://github.com/app-generator/sample-flask-htmlx-mkit.git
$ cd sample-flask-htmlx-mkit
$
$ # Check Heroku CLI is installed
$ heroku -v
heroku/7.25.0 win32-x64 node-v12.13.0 # <-- All good
$
$ # Check Heroku CLI is installed
$ heroku login
$ # this commaond will open a browser window - click the login button (in browser)
$
$ # Create the Heroku project
$ heroku create
$
$ # Trigger the LIVE deploy
$ git push heroku master
$
$ # Open the LIVE app in browser
$ heroku open

Gunicorn

Gunicorn 'Green Unicorn' is a Python WSGI HTTP Server for UNIX.

Install using pip

$ pip install gunicorn

Start the app using gunicorn binary

$ gunicorn --bind 0.0.0.0:8001 run:app
Serving on http://localhost:8001

Visit http://localhost:8001 in your browser. The app should be up & running.

Waitress

Waitress (Gunicorn equivalent for Windows) is meant to be a production-quality pure-Python WSGI server with very acceptable performance. It has no dependencies except ones that live in the Python standard library.